Real-Time Structural Health Monitoring and Damage Identification Using Frequency Response Functions along with Finite Element Model Updating Technique

Throughout service, damage can arise in the structure of buildings; hence, their dynamic testing becomes essential to verify that such buildings possess sufficient strength to withstand disturbances, particularly in the event of an earthquake. Dynamic testing, being uneconomical, requires proof of c...

Full description

Saved in:

Bibliographic Details
Published in:	Sensors (Basel, Switzerland) Vol. 22; no. 12; p. 4546
Main Authors:	Singh, Tarunpreet, Sehgal, Shankar, Prakash, Chander, Dixit, Saurav
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 16.06.2022 MDPI
Subjects:	Algorithms Artificial intelligence Buildings Communication Composite materials Control theory Eigenvalues finite element Localization Methods Microelectromechanical systems model updating Sensors structural dynamics structural health monitoring Vibration
ISSN:	1424-8220, 1424-8220
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Abstract	Throughout service, damage can arise in the structure of buildings; hence, their dynamic testing becomes essential to verify that such buildings possess sufficient strength to withstand disturbances, particularly in the event of an earthquake. Dynamic testing, being uneconomical, requires proof of concept; for this, a model of a structure can be dynamically tested, and the results are used to update its finite element model. This can be used for damage detection in the prototype and aids in predicting its behavior during an earthquake. In this instance, a wireless MEMS accelerometer was used, which can measure the vibration signals emanating from the building and transfer these signals to a remote workstation. The base of the structure is excited using a shaking table to induce an earthquake-like situation. Four natural frequencies have been considered and six different types of damage conditions have been identified in this work. For each damage condition, the experimental responses are measured and the finite element model is updated using the Berman and Nagy method. It is seen that the updated models can predict the dynamic responses of the building accurately. Thus, depending on these responses, the damage condition can be identified by using the updated finite element models.
AbstractList	Throughout service, damage can arise in the structure of buildings; hence, their dynamic testing becomes essential to verify that such buildings possess sufficient strength to withstand disturbances, particularly in the event of an earthquake. Dynamic testing, being uneconomical, requires proof of concept; for this, a model of a structure can be dynamically tested, and the results are used to update its finite element model. This can be used for damage detection in the prototype and aids in predicting its behavior during an earthquake. In this instance, a wireless MEMS accelerometer was used, which can measure the vibration signals emanating from the building and transfer these signals to a remote workstation. The base of the structure is excited using a shaking table to induce an earthquake-like situation. Four natural frequencies have been considered and six different types of damage conditions have been identified in this work. For each damage condition, the experimental responses are measured and the finite element model is updated using the Berman and Nagy method. It is seen that the updated models can predict the dynamic responses of the building accurately. Thus, depending on these responses, the damage condition can be identified by using the updated finite element models. Throughout service, damage can arise in the structure of buildings; hence, their dynamic testing becomes essential to verify that such buildings possess sufficient strength to withstand disturbances, particularly in the event of an earthquake. Dynamic testing, being uneconomical, requires proof of concept; for this, a model of a structure can be dynamically tested, and the results are used to update its finite element model. This can be used for damage detection in the prototype and aids in predicting its behavior during an earthquake. In this instance, a wireless MEMS accelerometer was used, which can measure the vibration signals emanating from the building and transfer these signals to a remote workstation. The base of the structure is excited using a shaking table to induce an earthquake-like situation. Four natural frequencies have been considered and six different types of damage conditions have been identified in this work. For each damage condition, the experimental responses are measured and the finite element model is updated using the Berman and Nagy method. It is seen that the updated models can predict the dynamic responses of the building accurately. Thus, depending on these responses, the damage condition can be identified by using the updated finite element models.Throughout service, damage can arise in the structure of buildings; hence, their dynamic testing becomes essential to verify that such buildings possess sufficient strength to withstand disturbances, particularly in the event of an earthquake. Dynamic testing, being uneconomical, requires proof of concept; for this, a model of a structure can be dynamically tested, and the results are used to update its finite element model. This can be used for damage detection in the prototype and aids in predicting its behavior during an earthquake. In this instance, a wireless MEMS accelerometer was used, which can measure the vibration signals emanating from the building and transfer these signals to a remote workstation. The base of the structure is excited using a shaking table to induce an earthquake-like situation. Four natural frequencies have been considered and six different types of damage conditions have been identified in this work. For each damage condition, the experimental responses are measured and the finite element model is updated using the Berman and Nagy method. It is seen that the updated models can predict the dynamic responses of the building accurately. Thus, depending on these responses, the damage condition can be identified by using the updated finite element models.
Author	Dixit, Saurav Sehgal, Shankar Singh, Tarunpreet Prakash, Chander
AuthorAffiliation	4 Division of Research & Innovation, Uttaranchal University, Dehradun 248007, India 1 University Institute of Engineering and Technology, Panjab University, Chandigarh 160014, India; tarun0512@pu.ac.in 2 School of Mechanical Engineering, Lovely Professional University, Phagwara 144411, India; chander.21503@lpu.co.in 3 Peter the Great St. Petersburg Polytechnic University, 195251 Saint Petersburg, Russia
AuthorAffiliation_xml	– name: 1 University Institute of Engineering and Technology, Panjab University, Chandigarh 160014, India; tarun0512@pu.ac.in – name: 3 Peter the Great St. Petersburg Polytechnic University, 195251 Saint Petersburg, Russia – name: 4 Division of Research & Innovation, Uttaranchal University, Dehradun 248007, India – name: 2 School of Mechanical Engineering, Lovely Professional University, Phagwara 144411, India; chander.21503@lpu.co.in
Author_xml	– sequence: 1 givenname: Tarunpreet orcidid: 0000-0002-3545-4542 surname: Singh fullname: Singh, Tarunpreet – sequence: 2 givenname: Shankar orcidid: 0000-0003-1874-0632 surname: Sehgal fullname: Sehgal, Shankar – sequence: 3 givenname: Chander surname: Prakash fullname: Prakash, Chander – sequence: 4 givenname: Saurav surname: Dixit fullname: Dixit, Saurav
BookMark	eNptks1uEzEQgC1URNvAgTewxAUOS7221z8XJFQaGqkIqSRny_HOJo527WDvgvoiPC9OU1W04mTL8_nzeGbO0UmIARB6W5OPjGlykSmtKW-4eIHOak55pSglJ__sT9F5zjtCKGNMvUKnrJFcMCbO0J9bsH219APgH2Oa3Dgl2-Prcjhu8bcY_BiTDxtsQ4u_2MFuAC9aCKPvvLOjjwGv8iE-T_BzguDu8C3kfQwZ8HwK7kBkbPtYkN--KOe-KAFf9TAUS3mhhR6v9m1xFWQJbht8Eb1GLzvbZ3jzsM7Qan61vLyubr5_XVx-vqkc52KsKG8VtSA7Blo20AhCrKjXmjFotHMdaTolO71u6s5RIaziqlZUWtty6YASNkOLo7eNdmf2yQ823Zlovbk_iGljbBq968GAJGvW6rqTinFhW-WcqJXTmq6Z46Qprk9H135aD9C68r9SyyfSp5Hgt2YTfxlNqeSlNzP0_kGQYqlBHs3gs4O-twHilA0VqiZMMikK-u4ZuotTCqVUhZJacVrmolAfjpRLMecE3WMyNTGHyTGPk1PYi2es8-N9h0uuvv_Pjb_K0MeF
CitedBy_id	crossref_primary_10_1007_s40799_024_00727_8 crossref_primary_10_1016_j_matpr_2022_09_321 crossref_primary_10_1155_2023_1117042 crossref_primary_10_1016_j_compind_2023_103991 crossref_primary_10_1177_14759217241273999 crossref_primary_10_1016_j_measurement_2025_117106 crossref_primary_10_1016_j_measurement_2025_117314 crossref_primary_10_3390_machines13080723 crossref_primary_10_3390_s23115143 crossref_primary_10_3390_s24237866 crossref_primary_10_3390_s23146437 crossref_primary_10_1016_j_engstruct_2024_117625 crossref_primary_10_1016_j_oceaneng_2025_122714 crossref_primary_10_3390_sym15020425 crossref_primary_10_1016_j_matpr_2022_08_204 crossref_primary_10_1016_j_istruc_2023_105361 crossref_primary_10_3390_s22207755 crossref_primary_10_3390_buildings15101619 crossref_primary_10_3390_fire5060205 crossref_primary_10_1016_j_matpr_2022_08_476
Cites_doi	10.1016/j.jsv.2021.116176 10.1016/j.autcon.2022.104168 10.1080/15583058.2016.1263691 10.1007/s11831-015-9150-3 10.1016/j.matpr.2020.09.318 10.1007/BF03044517 10.2514/3.60140 10.1016/j.ymssp.2019.106295 10.1007/s13349-017-0222-y 10.1006/jsvi.1999.2624 10.1016/j.ymssp.2015.02.007 10.1243/JMES_JOUR_1978_020_016_02 10.1016/j.eswa.2022.117297 10.1016/j.culher.2020.09.005 10.1016/j.renene.2020.10.021 10.1016/j.soildyn.2018.02.003 10.2514/3.60896 10.1007/s13349-018-0278-3 10.1016/j.jsv.2020.115289 10.1088/1742-6596/305/1/012042 10.1016/j.matpr.2021.12.385 10.1016/j.compstruc.2007.02.021 10.1016/j.ymssp.2006.10.002 10.1016/j.autcon.2015.10.001 10.1016/j.ymssp.2014.11.001 10.1177/1475921710365419 10.1016/j.mechmachtheory.2004.05.022 10.1016/j.jobe.2021.103954 10.1243/03093247V142049 10.1016/j.jsv.2008.08.014 10.1007/s11831-021-09666-8
ContentType	Journal Article
Copyright	2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2022 by the authors. 2022
Copyright_xml	– notice: 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: 2022 by the authors. 2022
DBID	AAYXX CITATION 3V. 7X7 7XB 88E 8FI 8FJ 8FK ABUWG AFKRA AZQEC BENPR CCPQU DWQXO FYUFA GHDGH K9. M0S M1P PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQQKQ PQUKI PRINS 7X8 5PM DOA
DOI	10.3390/s22124546
DatabaseName	CrossRef ProQuest Central (Corporate) Health & Medical Collection (Proquest) ProQuest Central (purchase pre-March 2016) Medical Database (Alumni Edition) ProQuest Hospital Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni) ProQuest Central UK/Ireland ProQuest Central Essentials ProQuest Central ProQuest One ProQuest Central Korea Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Health & Medical Complete (Alumni) ProQuest Health & Medical Collection Medical Database ProQuest Central Premium ProQuest One Academic (New) ProQuest Publicly Available Content Database ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals
DatabaseTitle	CrossRef Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest One Health & Nursing ProQuest Central China ProQuest Central ProQuest Health & Medical Research Collection Health Research Premium Collection Health and Medicine Complete (Alumni Edition) ProQuest Central Korea Health & Medical Research Collection ProQuest Central (New) ProQuest Medical Library (Alumni) ProQuest One Academic Eastern Edition ProQuest Hospital Collection Health Research Premium Collection (Alumni) ProQuest Hospital Collection (Alumni) ProQuest Health & Medical Complete ProQuest Medical Library ProQuest One Academic UKI Edition ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) MEDLINE - Academic
DatabaseTitleList	Publicly Available Content Database MEDLINE - Academic CrossRef
Database_xml	– sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: PIMPY name: Publicly Available Content Database url: http://search.proquest.com/publiccontent sourceTypes: Aggregation Database
DeliveryMethod	fulltext_linktorsrc
Discipline	Engineering
EISSN	1424-8220
ExternalDocumentID	oai_doaj_org_article_e70b3d91f78346ad8cc618c992b3c405 PMC9227402 10_3390_s22124546
GrantInformation_xml	– fundername: Department of Science and Technology & Renewable Energy, India grantid: S&T&RE/RP/147(19-20)/Sanc/10/2019/1703-1710 – fundername: Ministry of Science and Higher Education of the Russian Federation grantid: 075-15-2022-311
GroupedDBID	--- 123 2WC 53G 5VS 7X7 88E 8FE 8FG 8FI 8FJ AADQD AAHBH AAYXX ABDBF ABUWG ACUHS ADBBV ADMLS AENEX AFFHD AFKRA AFZYC ALMA_UNASSIGNED_HOLDINGS BENPR BPHCQ BVXVI CCPQU CITATION CS3 D1I DU5 E3Z EBD ESX F5P FYUFA GROUPED_DOAJ GX1 HH5 HMCUK HYE IAO ITC KQ8 L6V M1P M48 MODMG M~E OK1 OVT P2P P62 PHGZM PHGZT PIMPY PJZUB PPXIY PQQKQ PROAC PSQYO RNS RPM TUS UKHRP XSB ~8M 3V. 7XB 8FK AZQEC DWQXO K9. PKEHL PQEST PQUKI PRINS 7X8 5PM
ID	FETCH-LOGICAL-c446t-24d82ae7f3e975e5600a61b933e59ccf05f87f9b51fc266a8481827aad47ce203
IEDL.DBID	DOA
ISICitedReferencesCount	21
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000817691300001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	1424-8220
IngestDate	Mon Nov 10 04:32:41 EST 2025 Tue Nov 04 01:53:24 EST 2025 Sun Nov 09 12:39:12 EST 2025 Tue Oct 07 07:40:56 EDT 2025 Sat Nov 29 07:10:18 EST 2025 Tue Nov 18 21:47:12 EST 2025
IsDoiOpenAccess	true
IsOpenAccess	true
IsPeerReviewed	true
IsScholarly	true
Issue	12
Language	English
License	Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c446t-24d82ae7f3e975e5600a61b933e59ccf05f87f9b51fc266a8481827aad47ce203
Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23
ORCID	0000-0002-3545-4542 0000-0003-1874-0632
OpenAccessLink	https://doaj.org/article/e70b3d91f78346ad8cc618c992b3c405
PMID	35746336
PQID	2679842390
PQPubID	2032333
ParticipantIDs	doaj_primary_oai_doaj_org_article_e70b3d91f78346ad8cc618c992b3c405 pubmedcentral_primary_oai_pubmedcentral_nih_gov_9227402 proquest_miscellaneous_2681037376 proquest_journals_2679842390 crossref_primary_10_3390_s22124546 crossref_citationtrail_10_3390_s22124546
PublicationCentury	2000
PublicationDate	20220616
PublicationDateYYYYMMDD	2022-06-16
PublicationDate_xml	– month: 6 year: 2022 text: 20220616 day: 16
PublicationDecade	2020
PublicationPlace	Basel
PublicationPlace_xml	– name: Basel
PublicationTitle	Sensors (Basel, Switzerland)
PublicationYear	2022
Publisher	MDPI AG MDPI
Publisher_xml	– name: MDPI AG – name: MDPI
References	Clemente (ref_15) 2018; 8 Groves (ref_12) 2020; 475 Feng (ref_23) 2015; 60–61 (ref_4) 2022; 49 Goi (ref_10) 2017; 7 Singh (ref_6) 2021; 29 Zapico (ref_11) 2008; 86 Zou (ref_17) 2000; 230 Adams (ref_7) 1978; 20 Teughels (ref_33) 2005; 12 Hsu (ref_22) 2011; 305 Baruch (ref_29) 1978; 16 Cigada (ref_16) 2017; 11 Kessler (ref_9) 2001; 4336 Tian (ref_35) 2021; 506 Gesualdi (ref_34) 2019; 119 Gopinath (ref_14) 2020; 43 Fan (ref_18) 2011; 10 Pathak (ref_25) 2016; 3 Arora (ref_31) 2009; 320 ref_24 Hosoya (ref_36) 2019; 134 Yan (ref_19) 2007; 21 ref_21 Simoen (ref_32) 2015; 56 Zhou (ref_3) 2022; 203 Alavi (ref_20) 2016; 62 Bais (ref_28) 2004; 39 Mishra (ref_1) 2022; 48 ref_26 Cawley (ref_8) 1979; 14 Sehgal (ref_27) 2016; 23 Wu (ref_2) 2020; 162 Mishra (ref_13) 2020; 47 He (ref_5) 2022; 136 Berman (ref_30) 1983; 21
References_xml	– volume: 506 start-page: 116176 year: 2021 ident: ref_35 article-title: Dynamic condensation approach for response-based finite element model updating of large-scale structures publication-title: J. Sound Vib. doi: 10.1016/j.jsv.2021.116176 – ident: ref_24 – volume: 136 start-page: 104168 year: 2022 ident: ref_5 article-title: Integrated structural health monitoring in bridge engineering publication-title: Autom. Constr. doi: 10.1016/j.autcon.2022.104168 – volume: 11 start-page: 501 year: 2017 ident: ref_16 article-title: Structural Health Monitoring of an Historical Building: The Main Spire of the Duomo Di Milano publication-title: Int. J. Archit. Herit. doi: 10.1080/15583058.2016.1263691 – ident: ref_26 – volume: 23 start-page: 515 year: 2016 ident: ref_27 article-title: Structural Dynamic Model Updating Techniques: A State of the Art Review publication-title: Arch. Comput. Methods Eng. doi: 10.1007/s11831-015-9150-3 – volume: 43 start-page: 1534 year: 2020 ident: ref_14 article-title: Review on structural health monitoring for restoration of heritage buildings publication-title: Mater. Today Proc. doi: 10.1016/j.matpr.2020.09.318 – volume: 12 start-page: 123 year: 2005 ident: ref_33 article-title: Damage detection and parameter identification by finite element model updating publication-title: Arch. Comput. Methods Eng. doi: 10.1007/BF03044517 – volume: 21 start-page: 1168 year: 1983 ident: ref_30 article-title: Improvement of a large analytical model using test data publication-title: AIAA J. doi: 10.2514/3.60140 – ident: ref_21 – volume: 134 start-page: 106295 year: 2019 ident: ref_36 article-title: Spherical projectile impact using compressed air for frequency response function measurements in vibration tests publication-title: Mech. Syst. Signal Process. doi: 10.1016/j.ymssp.2019.106295 – volume: 7 start-page: 153 year: 2017 ident: ref_10 article-title: Damage detection of a truss bridge utilizing a damage indicator from multivariate autoregressive model publication-title: J. Civ. Struct. Health Monit. doi: 10.1007/s13349-017-0222-y – volume: 230 start-page: 357 year: 2000 ident: ref_17 article-title: Vibration-based model-dependent damage (delamination) identification and health monitoring for composite structures—A Review publication-title: J. Sound Vib. doi: 10.1006/jsvi.1999.2624 – volume: 60–61 start-page: 59 year: 2015 ident: ref_23 article-title: Damage detection of metro tunnel structure through transmissibility function and cross correlation analysis using local excitation and measurement publication-title: Mech. Syst. Signal Process. doi: 10.1016/j.ymssp.2015.02.007 – volume: 20 start-page: 93 year: 1978 ident: ref_7 article-title: A Vibration Technique for Non-Destructively Assessing the Integrity of Structures publication-title: J. Mech. Eng. Sci. doi: 10.1243/JMES_JOUR_1978_020_016_02 – volume: 203 start-page: 117297 year: 2022 ident: ref_3 article-title: Construction of health indicators for condition monitoring of rotating machinery: A review of the research publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2022.117297 – volume: 47 start-page: 227 year: 2020 ident: ref_13 article-title: Machine learning techniques for structural health monitoring of heritage buildings: A state-of-the-art review and case studies publication-title: J. Cult. Herit. doi: 10.1016/j.culher.2020.09.005 – volume: 162 start-page: 2380 year: 2020 ident: ref_2 article-title: The VMTES: Application to the structural health monitoring and diagnosis of rotating machines publication-title: Renew. Energy doi: 10.1016/j.renene.2020.10.021 – volume: 119 start-page: 422 year: 2019 ident: ref_34 article-title: Finite element model updating of base-isolated buildings using experimental results of in-situ tests publication-title: Soil Dyn. Earthq. Eng. doi: 10.1016/j.soildyn.2018.02.003 – volume: 16 start-page: 346 year: 1978 ident: ref_29 article-title: Optimal weighted orttiogonalization of measured modes publication-title: AIAA J. doi: 10.2514/3.60896 – volume: 8 start-page: 171 year: 2018 ident: ref_15 article-title: Extending the life-span of cultural heritage structures publication-title: J. Civ. Struct. Health Monit. doi: 10.1007/s13349-018-0278-3 – volume: 475 start-page: 115289 year: 2020 ident: ref_12 article-title: Effects of high-amplitude low-frequency structural vibrations and machinery sound waves on ultrasonic guided wave propagation for health monitoring of composite aircraft primary structures publication-title: J. Sound Vib. doi: 10.1016/j.jsv.2020.115289 – volume: 305 start-page: 12042 year: 2011 ident: ref_22 article-title: A damage detection algorithm integrated with a wireless sensing system publication-title: J. Phys. Conf. Ser. doi: 10.1088/1742-6596/305/1/012042 – volume: 49 start-page: A19 year: 2022 ident: ref_4 article-title: A systematic review of structural materials health monitoring system for girder-type bridges publication-title: Mater. Today Proc. doi: 10.1016/j.matpr.2021.12.385 – volume: 86 start-page: 416 year: 2008 ident: ref_11 article-title: Seismic damage identification in buildings using neural networks and modal data publication-title: Comput. Struct. doi: 10.1016/j.compstruc.2007.02.021 – volume: 21 start-page: 2198 year: 2007 ident: ref_19 article-title: Development in vibration-based structural damage detection technique publication-title: Mech. Syst. Signal Process. doi: 10.1016/j.ymssp.2006.10.002 – volume: 4336 start-page: 1 year: 2001 ident: ref_9 article-title: Structural health monitoring in composite materials using frequency response methods publication-title: Nondestruct. Eval. Mater. Compos. V – volume: 3 start-page: 2455 year: 2016 ident: ref_25 article-title: Finite element analysis program of frames publication-title: Int. J. Technol. Res. Eng. – volume: 62 start-page: 24 year: 2016 ident: ref_20 article-title: An intelligent structural damage detection approach based on self-powered wireless sensor data publication-title: Autom. Constr. doi: 10.1016/j.autcon.2015.10.001 – volume: 56 start-page: 123 year: 2015 ident: ref_32 article-title: Dealing with uncertainty in model updating for damage assessment: A review publication-title: Mech. Syst. Signal Process. doi: 10.1016/j.ymssp.2014.11.001 – volume: 10 start-page: 83 year: 2011 ident: ref_18 article-title: Vibration-based damage identification methods: A review and comparative study publication-title: Struct. Health Monit. doi: 10.1177/1475921710365419 – volume: 39 start-page: 1307 year: 2004 ident: ref_28 article-title: Studies in dynamic design of drilling machine using updated finite element models publication-title: Mech. Mach. Theory doi: 10.1016/j.mechmachtheory.2004.05.022 – volume: 48 start-page: 103954 year: 2022 ident: ref_1 article-title: Structural health monitoring of civil engineering structures by using the internet of things: A review publication-title: J. Build. Eng. doi: 10.1016/j.jobe.2021.103954 – volume: 14 start-page: 49 year: 1979 ident: ref_8 article-title: The location of defects in structures from measurements of natural frequencies publication-title: J. Strain Anal. Eng. Des. doi: 10.1243/03093247V142049 – volume: 320 start-page: 438 year: 2009 ident: ref_31 article-title: Damped model updating using complex updating parameters publication-title: J. Sound Vib. doi: 10.1016/j.jsv.2008.08.014 – volume: 29 start-page: 1997 year: 2021 ident: ref_6 article-title: Structural Health Monitoring of Composite Materials publication-title: Arch. Comput. Methods Eng. doi: 10.1007/s11831-021-09666-8
SSID	ssj0023338
Score	2.4937205
Snippet	Throughout service, damage can arise in the structure of buildings; hence, their dynamic testing becomes essential to verify that such buildings possess...
SourceID	doaj pubmedcentral proquest crossref
SourceType	Open Website Open Access Repository Aggregation Database Enrichment Source Index Database
StartPage	4546
SubjectTerms	Algorithms Artificial intelligence Buildings Communication Composite materials Control theory Eigenvalues finite element Localization Methods Microelectromechanical systems model updating Sensors structural dynamics structural health monitoring Vibration
SummonAdditionalLinks	– databaseName: Health & Medical Collection (Proquest) dbid: 7X7 link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lb9QwELagcIBDeYuUggziwCVqYiexfUI8GnGqUGmlvUW2Y9OVlmTZLUj8kf7eztje7UZCXLgms1ornsc39sw3hLzVrtACgAjYtzE5RDyXS1a6vIFw4wpbeG58GDYhTk7kbKa-pgO3dSqr3PjE4Kj70eIZ-RHD6wJkqyveL3_mODUKb1fTCI3b5A6OzUY9F7ObhItD_hXZhDj87mjNwE9XNWLdnRgUqPon-HJaHbkTbtoH_7vQh2Q_AU36IWrGI3LLDY_J_R36wSfk6hRQYo5NIPRboJFFCg4aG5NoNHYUpHro6Wf9AzwPjX29Ph300VBwQNtVrMf-Q09jxa2jLYTLoNFUL0YQweNe2s4R4NLjWLFOcQzbgp4vscECRM42bLJPyXl7fPbpS57mNOQWksnLnFW9ZNoJz50StUMMpZvSKM5draz1Re2l8MrUpbeABzQy-EsmtO4rYR0r-DOyN4yDe05oJbnsOchittzXQnMOiEPXlZGl7qXJyLvNznU2kZjjLI1FB8kMbnK33eSMvNmKLiNzx9-EPuL2bwWQbDs8GFffu2S7nROF4b0qPQ4laWAZ1jaltEoxwy0A3owcbjShSx5g3d2oQUZeb1-D7eKFjB7c-AtlJLZpgo_PiJgo3WRB0zfD_CKwgCsGn6hgB__-8xfkHsOGDZy21BySPdAm95Lctb8v5-vVq2Au132aI3c priority: 102 providerName: ProQuest
Title	Real-Time Structural Health Monitoring and Damage Identification Using Frequency Response Functions along with Finite Element Model Updating Technique
URI	https://www.proquest.com/docview/2679842390 https://www.proquest.com/docview/2681037376 https://pubmed.ncbi.nlm.nih.gov/PMC9227402 https://doaj.org/article/e70b3d91f78346ad8cc618c992b3c405
Volume	22
WOSCitedRecordID	wos000817691300001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
journalDatabaseRights	– providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 1424-8220 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0023338 issn: 1424-8220 databaseCode: DOA dateStart: 20010101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 1424-8220 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0023338 issn: 1424-8220 databaseCode: M~E dateStart: 20010101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVPQU databaseName: Health & Medical Collection customDbUrl: eissn: 1424-8220 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0023338 issn: 1424-8220 databaseCode: 7X7 dateStart: 20010101 isFulltext: true titleUrlDefault: https://search.proquest.com/healthcomplete providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 1424-8220 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0023338 issn: 1424-8220 databaseCode: BENPR dateStart: 20010101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: Publicly Available Content Database customDbUrl: eissn: 1424-8220 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0023338 issn: 1424-8220 databaseCode: PIMPY dateStart: 20010101 isFulltext: true titleUrlDefault: http://search.proquest.com/publiccontent providerName: ProQuest
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3NjtMwEB7BwgEOiF8RWCqDOHCJNrGT2D6y0AgOW1VlVyqnyHZsbaWSrrYLEhceg-dlJk6rRkLiwiUHew6OZ8YzY898A_DW-MxIdERQv61N0eL5VPHcpxWaG5-5LAgb-mYTcjZTy6WeH7T6opywCA8cN-7Ey8yKVueBOkJUplXOVblyWnMrXBHRSzOpd8HUEGoJjLwijpDAoP5ky_GELkrycg-sTw_SP_Isx3mRB4amfggPBg-RvY8rewS3fPcY7h_gBj6B3wt071Kq3mBfevxXws5gsaKIRS0lQma6ln003_DIYLEgNww3dKzPFGD1dUyk_skWMVXWsxrtXC-KzKw3SEL3tKxekWfKpjHVnFH_tDW7uKLKCCQ538HAPoWLenr-4VM6NFhIHUaBNykvWsWNl0F4LUtPzo-pcquF8KV2LmRlUDJoW-bBoSE3BL2vuDSmLaTzPBPP4KjbdP45sEIJ1QqkpTC3LaURAl0FUxZW5cg0m8C73cY3bkAfpyYY6wajEOJRs-dRAm_2pFcRcuNvRKfEvT0BoWT3Ayg7zSA7zb9kJ4HjHe-bQXW3Dad3KYJFzBJ4vZ9GpaOXFNP5zXeiUVRfiYdzAnIkM6MFjWe61WUP3605blHGX_yPP3gJ9zjVY1AzpeoYjlDm_Cu4637crLbXE7gtl7L_qgncOZ3O5otJryf4Pfs1xbH557P51z8SMht4
linkProvider	Directory of Open Access Journals
linkToHtml	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V3NbtQwEB6VggQc-EcEChgEEpeoiZ3EzgEhoI1ataxQ2Up7Sx3HgZWWZNktoL4Ij8EzMhMn242EuPXANR4llvN5fuyZbwBeaBtoiY4I7u-i8NHiWV_x0PoJmhsbmKASRdU2m5CjkZpM0o8b8LuvhaG0yl4ntoq6bAydkW9zui4gtrrgzfybT12j6Ha1b6HhYHFgz35iyLZ8vb-D__cl59nu-P2e33UV8A2GPqc-j0rFtZWVsKmMLVl8nYQFBvY2To2pgrhSskqLOKwMWi9NfPOKS63LSBrLA4HvvQSXUY9LCvbk5DzAExjvOfYigfPcXnK0C1FMvvWazWtbAwz82WE25pp5y27-bwtzC250jjR765B_GzZsfQeur9Er3oVfR-gF-1Tkwj61NLlEMcJc4RVzyowEma5LtqO_omZlrm656g4yWZtQwbKFyzc_Y0cuo9iyDN2BdscyPWtQhI6zWTYlB57tuox8Rm3mZux4TgUkKDLu2XLvwfGFLMx92Kyb2j4AFimhSoGydBpQxlILgR6VjqNChbpUhQeveqTkpiNpp14hsxyDNQJVvgKVB89XonPHTPI3oXcEt5UAkYm3D5rF57zTTbmVQSHKNKyo6UqC0zAmCZVJU14Igw69B1s98vJOwy3zc9h58Gw1jLqJLpx0bZvvJKOoDBVtmAdyAPLBhIYj9fRLy3KeclyigD_898efwtW98YfD_HB_dPAIrnEqTqHOUskWbCKy7GO4Yn6cTpeLJ-1WZXBy0VvgD629f8I
linkToPdf	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lb9NAEB6VFCE48EYYCiwIJC5W7V0_1geEgNQiKkRRaaX2ZNbrXYgU7JAUUP8IP4Zfx4xfxBLi1gNXexSvNt-8dme-AXiqjKdiDERQv_PcRY9nXMl940boboynPStyWw-biKdTeXyczLbgV9cLQ2WVnU2sDXVRaToj3-V0XUBsdd6ubcsiZuP05fKrSxOk6Ka1G6fRQGTfnP3A9G39YjLG__oZ5-ne4Zu3bjthwNWYBp26PCgkVya2wiRxaMj7q8jPMck3YaK19UIrY5vkoW81ejJF3POSx0oVQawN9wT-7gXYxpA84CPYnk3ez076dE9g9tdwGQla9ZqjlwhCirQ3PGA9KGAQ3Q5rMzecXXrtf96m63C1DbHZq0YnbsCWKW_ClQ3ixVvw8wDjY5faX9iHmkCXyEdY05LFGjNHgkyVBRurL2hzWdPRbNsjTlaXWrB01VSin7GDptbYsBQDhVqXmVpUKEIH3SydU2jP9ppafUYD6BbsaEmtJShy2PHo3oajc9mYOzAqq9LcBRZIIQuBsnROUISxEgJjLRUGufRVIXMHnneoyXRL305TRBYZpnEEsKwHmANPetFlw1nyN6HXBL1egGjG6wfV6lPWWq3MxF4uisS3NI4lwmVoHflSJwnPhcZQ34GdDoVZa_vW2R8IOvC4f41Wi66iVGmqbyQjqUEVvZsD8QDwgwUN35TzzzX_ecJxizx-798ffwSXEPnZu8l0_z5c5tS1QiOnoh0YIbDMA7iov5_O16uHrd4y-HjeOvAbz8aKEQ
openUrl	ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Real-Time+Structural+Health+Monitoring+and+Damage+Identification+Using+Frequency+Response+Functions+along+with+Finite+Element+Model+Updating+Technique&rft.jtitle=Sensors+%28Basel%2C+Switzerland%29&rft.au=Singh%2C+Tarunpreet&rft.au=Sehgal%2C+Shankar&rft.au=Prakash%2C+Chander&rft.au=Dixit%2C+Saurav&rft.date=2022-06-16&rft.issn=1424-8220&rft.eissn=1424-8220&rft.volume=22&rft.issue=12&rft.spage=4546&rft_id=info:doi/10.3390%2Fs22124546&rft.externalDBID=n%2Fa&rft.externalDocID=10_3390_s22124546
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1424-8220&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1424-8220&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1424-8220&client=summon